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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Data Science and AI - EAST COAST - **Company:** StarCompliance Operating, LLC - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Microsoft Azure, Big Data, Cloud Engineering, Information Engineering, Extract Transform Load (ETL), Azure Machine Learning, Search Technologies, Software Engineering, Azure Data Factory, Snowflake, Event Driven Architecture, Azure Synapse Analytics, Microservices - **Published:** September 21, 2026 - **Apply:** https://jobs.lever.co/starcompliance/fad1194f-adbc-49c9-8abf-81167f59bae6 ## About the Role AI & Machine Learning * Proven delivery of production-grade AI and ML systems at scale, not just experimentation. * Deep experience with generative AI and LLM-based application architectures (fine-tuning, prompt engineering, RAG, agentic frameworks). * Strong knowledge of vector databases and semantic search (e.g. Pinecone, Weaviate, pgvector, Azure AI Search). Data Engineering & Platforms * Deep background in modern data engineering, ELT/ETL patterns, and large-scale data pipeline architectures. * Hands-on experience with Snowflake (or equivalent cloud data warehouse) and associated data modelling patterns. * Strong Azure ecosystem experience: Azure Data Factory, Azure Synapse, Azure OpenAI Service, and Azure Machine Learning. Software Engineering & Architecture * Strong software engineering fundamentals and the credibility to engage at technical depth with senior engineers. * Experience with cloud-native, microservices, and event-driven architectures on Azure (or equivalent hyperscaler). * Ability to make sound build vs buy vs integrate decisions across the AI and data tooling landscape. Leadership & Business * Proven experience building and leading high-performing Data / AI engineering teams. * Experience within financial services, regtech, compliance, surveillance, or similarly regulated domains. * Strong commercial instincts - the ability to connect technical investment to customer value and business outcomes. Integrity and Ethics All StarCompliance employees are expected to commit to a high standard of personal integrity and carry out their responsibilities in an ethical manner. Ready to start your career? ## Description We need a hands-on technical leader to own our data and AI strategy and execute it - building a high-performing Data & AI function that ships production-grade AI capabilities at scale in a heavily regulated environment. You will partner closely with Product, Engineering, Architecture, Security, and the executive team. You will work together with the Product Director, AI & Data Products as a joint technology-and-product leadership pairing, co-owning the AI roadmap, prioritisation, and delivery outcomes., AI Product Delivery & Strategy * Own the end-to-end technical strategy and execution roadmap for AI-enabled product capabilities across the StarCompliance platform. * Drive adoption of generative AI, LLM-based architectures, predictive analytics, graph intelligence, recommendation systems, and semantic search where these deliver measurable customer value. Data Platform & Engineering * Own the data foundation strategy, ensuring clean, trusted, well-governed data underpins every AI initiative. * Build robust MLOps capabilities, including model training pipelines, versioning, monitoring, A/B experimentation, and drift detection. Internal AI Enablement * Champion pragmatic AI adoption within engineering and product development, accelerating how we build, not just what we build. Leadership & Team Building * Build, mentor, and scale a high-performing Data & AI organisation across data engineering, data science, ML engineering and analytics. Cross-Functional & Executive Collaboration * Work closely with the CTO and executive team to align AI and data initiatives with company strategy and commercial priorities. * Partner with the Product Director, AI & Data Products, co-owning the AI roadmap, prioritisation, and delivery outcomes. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship)